View clinical trials related to Adenoma.
Filter by:The diagnostic accuracy and safety of colonoscopy highly depends on the quality of the pre-procedural bowel preparation. A past history of poor bowel preparation is the most important risk factor of inadequate bowel cleansing at the next colonoscopy. This study aims to evaluate if an adequate level of bowel cleansing can be achieved with the Pure-Vu System in patients with previous poor bowel preparation, in a single arm international multicenter feasibility study.
The purpose of this study is to determine the sensitivity and specificity for LifeKit Prevent Colorectal Neoplasia Test for colorectal cancer (CRC) and for adenoma, including advanced adenoma.
The purpose of this study is to assess the safety and efficacy of teverelix TFA in the treatment of advanced prostate cancer
The Italian screening program invites the resident population aged 50-74 for Fecal Immunochemical Test (FIT) every 2 years. Subjects who test positive are referred for colonoscopy. Maximizing adenoma detection during colonoscopy is of paramount importance in the framework of an organized screening program, in which colonoscopy represent the key examination. Initial studies consistently show that Artificial iIntelligence-based systems support the endoscopist in evaluating colonoscopy images potentially increasing the identification of colonic polyps. However, the studies on AI and polyp detection performed so far are mostly focused on technical issues, are based on still images analysis or recorded video segments and includes patients with different indications for colonoscopy. At the best of our knowledge, data on the impact on AI system in adenoma detection in a FIT-based screening program are lacking. The present prospective randomized controlled trial is aimed at evaluating whether the use of an AI system increases the ADR (per patient analysis) and/or the mean number of adenomas per colonoscopy in FIT-positive subjects undergoing screening colonoscopy. Therefore Patients fulfilling the inclusion criteria are randomized (1:1) in two arms: A) patients receive standard colonoscopy (with high definition-HD endoscopes) with white light (WL) in both insertion and withdrawal phase; all polyps identified are removed and sent for histopathology examination; B) patients receive colonoscopy examinations (with HD endoscopes) equipped with an AI system (in both insertion and withdrawal phase); all polyps identified are removed and sent for histopathology examination. In the present study histopathology represents the reference standard.
Deep learning technology has an increasing role in medical image applications and, recently, an artificial intelligence device has been developed and commercialized by Medtronic for identification of polyps during colonoscopy (GI-GENIUS). This kind of computer-aided detection (CADe) devices have demonstrated its ability for improving polyp detection rate (PDR) and the adenoma detection rate (ADR). However, this increase in PDR and ADR is mainly made at the expense of small polyps and non advanced adenomas. Colonoscopies after a positive fecal immunochemical test (FIT) could be the scenario with a higher prevalence of advanced lesions which could be the ideal situation for demonstrating if these CADe systems are able also to increase the detection of advanced lesions and which kind of advanced lesions are these systems able to detect. The CADILLAC study will randomize individuals within the population-based Spanish colorectal cancer screening program to receive a colonoscopy where the endoscopist is assisted by the GI-GENIUS device or to receive a standard colonoscopy. If our results are positive, that could suppose a big step forward for CADe devices, in terms of definitive demonstration of being of help for efectively identify also advanced lesions.
Because advanced gastric cancer shows poor prognosis, it is important to detect early gastric cancer or precancerous gastric adenoma patients who have a cure rate of 95% or more. Moreover, a large part of early gastric cancer can be completely resected by endoscopic resection, thus ensuring a very high quality of life for patients. However, there are currently no markers that can be used for diagnosis of early gastric cancer or gastric adenoma. In addition, the biggest problem after endoscopic resection of early gastric cancer is metachronous recurrence of the cancer, which requires repeated endoscopic resection or additional surgical gastrectomy. However, there are no discovered markers for prediction of recurrence. Liquid biopsy is a method of obtaining body fluids such as gastric juice or effusion through an endoscopic inlet during gastroscopy or colonoscopy and blood. Based on the advanced analysis method, liquid biopsy reveals more genetic information than tissue biopsy. Therefore, it is highly likely to become an essential factor in future personalized medicine. Therefore, this study was designed to identify whether tumor's molercular profiling based on tissue or blood could be used for prediction of prognosis and diagnosis of early gastric cancer and precancerous gastric adenoma.
One tricky aspect of the recommendations for colonoscopy prep is diet. This has a significant impact on the experience of the patient or participant in the screening program and, on the other hand, low adherence has been found in some studies despite a potential Hawthorne effect . It is noteworthy that despite its impact on patient experience, it is an area for which little evidence is available, which is why the guidelines give low-quality recommendations and there is probably considerable variability in clinical practice . In the early days of colonoscopy, a liquid diet for 48 hours was mainly recommended, although some centers indicated a low-residue diet or even the commercially available NASA astronaut diet. Later, the indication for a liquid diet was consolidated until finally numerous studies were published in favor of a low-residue diet, managing to increase tolerance and the quality of the preparation . A limitation of the preparation studies must be borne in mind that the colon cleansing rating scales were not introduced until 1999 when the Aronchick scale was published. Although there is solid evidence in favor of a low-residue diet versus a liquid diet, the investigators do not have evidence on how many days of a low-residue diet should be recommended, and this is reflected in the ESGE (European Society of Gastrointestinal Endoscopy) and ASGE (American Society of Gastrointestinal Endoscopy) guidelines . A randomized clinical trial comparing 3 days versus 1 day of a low residue diet has recently been published . There were no statistically significant differences in the rate of adequate preparations (82.7% vs. 85.6% OR 1.2 95% IC 0.72 to 2.15). However, this study has limited statistical power and a design that allows a non-inferiority analysis has not been followed. In relation to this, our research group is finalizing a non-inferiority clinical trial in whose intermediate analysis, with 421 participants, the non-inferiority of 1 day of diet is fulfilled (rate of poor preparation in 1 day 0.95% vs. 4.74% in 3 days; d + 5%, difference -3.78% IC -6.88% to -1.12%) (38). It is likely, taking into account the available evidence and its evolution, that diet plays a secondary role in preparation. Although no studies designed to directly assess this have been conducted, the research group has indirect data. Walter et al, under the hypothesis that the impact of the fractional preparation and the new preparations on the preparation diminished the importance of the diet, conducted a non-inferiority clinical trial between 2012 and 2013 in which they randomized the patients to follow a diet liquid versus low residue for one day and fractional preparation with Moviprep (39). They established a non-inferiority margin of -13.5%. Their results show a rate of good preparation (Boston> 5) in 68/72 (94.4%) in a liquid diet compared to 60/68 (88.2%) in a low-residue diet (p = 0.04) with a difference of -5.08% demonstrating non-inferiority of the low residue diet.
We intend to develop intelligent quality control and management software based on the work of digestive endoscopic artificial intelligence in the Department of Gastroenterology, Wuhan University Renmin Hospital, to accurately and comprehensively assess the quality of gastrointestinal endoscopy and to provide a practical basis for improving the quality of digestive endoscopy in our endoscopic center.
This study is a prospective, single-arm, multi-center, open-label, staged clinical study. Overall Objective: 1. To evaluate the safety and effectiveness of the ELS System in subjects undergoing transanal endoluminal procedures in the rectum and distal colon (up to 17 cm from the anal verge). 2. To validate a program for training surgeons and their teams to successfully use the ELS System.
The Endocuff study aims to show an increase of the number of detected adenomas in screening colonoscopies when a endocuff vision (Arc Medical Design Ldt Leeds England) is used.